Fusion of Heart Rate, Respiration and Motion Measurements from a Wearable Sensor System to Enhance Energy Expenditure Estimation

Fusion of Heart Rate, Respiration and Motion Measurements from a Wearable Sensor System to Enhance Energy Expenditure Estimation

This paper presents a new method that integrates heart rate, respiration, and motion information obtained from a wearable sensor system to estimate energy expenditure. The system measures electrocardiography, impedance pneumography, and acceleration from upper and lower limbs. A multilayer perceptro...

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Bibliographic Details
Main Authors: Ke Lu, Liyun Yang, Fernando Seoane, Farhad Abtahi, Mikael Forsman, Kaj Lindecrantz
Format: Article
Language:English
Published: MDPI AG 2018-09-01
Series:Sensors
Subjects:
energy expenditure
wearable device
accelerometer
impedance pneumography
neural network
Online Access:http://www.mdpi.com/1424-8220/18/9/3092

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